Senior Software Engineer

Pune, Maharashtra, India

Syngenta Group

Syngenta helps millions of farmers around the world to grow safe and nutritious food, while taking care of the planet.

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Company Description

Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities.

A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet.

To learn more visit: www.syngenta.com

Job Description

Position Overview: We are seeking an experienced and technically proficient Senior Software Engineer to join our dynamic Digital AgTech team in Pune. As a Senior Software Engineer, you will lead the development of cutting-edge digital agriculture solutions, architect data pipelines using Databricks, and drive innovation in our cloud-native products that shape the future of global agriculture.

 

Key Responsibilities:

- Design and implement scalable data processing pipelines using Databricks

- Develop and maintain ETL workflows using Databricks Delta Lake

- Design and implement ML model serving pipelines for production environments

- Architect and deploy cloud-native solutions leveraging AWS services

- Provide technical leadership and mentoring to junior team members

- Drive best practices in code quality, testing, and deployment automation

- Collaborate with data scientists to optimize model deployment workflows

- Contribute to technical decision-making and architecture discussions

Qualifications

- Bachelor or Master degree in Computer Science, Software Engineering, or related field

- 5-8 years of experience in software development with focus on Python

- Minimum 1 year hands-on experience with Databricks platform

- Strong expertise in:

* Databricks, Delta Lake, and Apache Spark

* Python and PySpark

* AWS services (ECS, Lambda, S3, DynamoDB, SQS, etc.)

* Apache Kafka and message queuing systems

* ML model serving and deployment pipelines

* Container technologies (Docker, Kubernetes)

- Experience with CI/CD pipelines and DevOps practices

- Strong system design and problem-solving skills

- Excellent communication and leadership abilities

Preferred Skills:

- Experience with microservices architecture and RESTful APIs

- Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)

- Knowledge of ML model optimization and scaling

- Experience with real-time prediction serving systems

- Experience with both Kafka and SQS in production environments

- Knowledge of AgTech domain or similar industry

- Experience with infrastructure as code (Terraform, CloudFormation)

 

Additional Information

Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. 

Follow us on: Twitter & LinkedIn

https://twitter.com/SyngentaAPAC 

https://www.linkedin.com/company/syngenta/

India page

https://www.linkedin.com/company/70489427/admin/

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs Architecture AWS CI/CD CloudFormation Computer Science Databricks Data pipelines DevOps Docker DynamoDB ECS Engineering ETL Kafka Kubernetes Lambda Machine Learning Microservices Model deployment Pipelines PySpark Python PyTorch Scikit-learn Security Spark TensorFlow Terraform Testing

Region: Asia/Pacific
Country: India

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